IRES: U.S.-Hungary Research Experience for Students on Non-Boolean Computer Architectures

IRES：美国-匈牙利学生非布尔计算机体系结构研究经验

• 批准号: 1358072
• 负责人: Michael Niemier
• 金额: $ 23.88万
• 依托单位: University of Notre Dame
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1358072&HistoricalAwards=false
• 关键词: IRES; U.S.; Hungary; Research; Experience

The objective of this U.S.-Hungarian project is to provide early career international research experience (IRES) for U.S. students who will study emerging technologies based on cellular neural networks(CNN)with the goal of enhancing and developing information processing systems. The IRES program of activities will take place in Budapest, overseen by the principal investigator, Michael Niemier, in partnership with colleagues from the University of Notre Dame and faculty at Pázmány Péter Catholic University (PPKE). A CNN is an analog array processor architecture designed to significantly improve the power and performance of various computation-intensive applications, such as image processing, pattern recognition, and motion detection. Together, the U.S.-Hungarian team will pursue effective ways to move away from chip stored program models. By seeking additional functionalities and capabilities, the research mentors and their students expect to leverage new information processing technologies and algorithms to further enhance the functionality of and application spaces for the CNN paradigm.Technical Summary:Via collaboration and mentoring by faculty from the University of Notre Dame and Pázmány Péter Catholic University (PPKE) in Budapest, Hungary, the impact of emerging technologies on architectures, algorithms, and programming will be addressed by IRES student participants. Cooperative research activity will focus on determining whether emerging device technologies that are organized in a CNN-like fashion can be "programmed" and are amenable to template-based operations. U.S. student participants and their PPKE counterparts will study existing hardware designs for improvement by emerging technologies, possibly via lower energy, and if likely, what the resulting impact on programmability will be. For example, the viability of hardware realizations of new CNN-computing models (e.g., frameless computing and delay-based templates) that presently exist only mathematically will be explored. For new application spaces, team efforts will target tactile sensing and focus on developing CNN circuitry with integrated sensing technology. Also of interest are graphene based electronics and developing algorithms to process sensed data. If successful, the U.S.-Hungarian IRES team's combined research activities may lead us to consider new, integrated sensing and tactile data processing techniques for potential heavier load applications in areas such as robots or prosthetic feet.

这样的目的是为基于临时神经网络（CNN）学习的美国学生提供早期的国际研究经验（IRES），以增强和开发信息。尼米尔（Niemier）与巴黎圣母院（PPKE）的巴黎圣母院（PPKE）合作。通过寻求额外的功能，研究指导者，学生们的模型都会利用技术技术和算法来进一步促进CNN Paradigm.Technical of Charadigm.thardicy的技术和算法。 DazmányPéter天主教大学（匈牙利布达佩斯的PPKE，新兴技术对建筑，算法和编程的影响都会带有螺柱蚂蚁。合作活动，重点是侧重于以CNN式方式组织的Emerging设备技术，是否可以是CNN式的方式MED”，并且可以适合基于模板的操作。通过新兴技术，通过较低的能量进行的美国秘诀，如果可能的话，对可编程性的影响将是什么。前面的例子，CNN计算模型的硬件实现的可行性（例如， ，无框计算和基于延迟的模板）针对新的应用空间，团队的效率将触觉触觉tartile tartile tartile tartile tartile tartile tartile tartile tarkhe wite wite wite wite with wite with wite winte seensing技术COMBINED RESEARCH ACTIVITIES MAY LEAD US TO CONSIDER NEW OAD Applications in Areasa Such as Robots or Prosthetic Feet.